Machine Learning Engineer

Industry: Healthtech
Remote
Company size: 11-50
Full-time
salary
Not disclosed

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Job description

A US-based company building an efficient SaaS Physician platform that taps into the power of AI-based augmentation and scribe system is looking for a Machine Learning Engineer. The engineer will be in charge of making several key infrastructure-related decisions. The company is delivering solutions that eliminate friction points in the patient encounter and creating end-to-end efficiencies in the clinic. It has managed to raise more than $13.5 mn during their Seed round of funding. This role requires 4+ hours of overlap with the PST time zone and will be a full-time, long-term position.

 

Job Responsibilities:

  • Work collaboratively across technology teams to implement solutions
  • Build scalable, responsive, and well-documented stacks
  • Communicate well with technical and non-technical stakeholders
  • Tackle complex technical problems and build innovative solutions

Job Requirements:

  • Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
  • At least 5+ years of relevant experience as a Machine Learning engineer
  • Demonstrable experience working with NLP and Python
  • Highly independent and excellent leadership skills
  • Ability to complete tasks autonomously
  • Excellent communication and collaboration skills
  • Fluent in spoken and written English

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